FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS

During the last two decades surface elevation data have been gathered over the Greenland Ice Sheet (GrIS) from a variety of different sensors including spaceborne and airborne laser altimetry, such as NASA’s Ice Cloud and land Elevation Satellite (ICESat), Airborne Topographic Mapper (ATM) and Laser...

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Published in:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: Schenk, T., Csatho, B. M., Duncan, K.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/isprs-archives-XLI-B8-531-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/
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spelling ftcopernicus:oai:publications.copernicus.org:isprs-archives53292 2023-05-15T13:07:35+02:00 FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS Schenk, T. Csatho, B. M. Duncan, K. 2018-01-15 application/pdf https://doi.org/10.5194/isprs-archives-XLI-B8-531-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/ eng eng doi:10.5194/isprs-archives-XLI-B8-531-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/ eISSN: 2194-9034 Text 2018 ftcopernicus https://doi.org/10.5194/isprs-archives-XLI-B8-531-2016 2019-12-24T09:52:12Z During the last two decades surface elevation data have been gathered over the Greenland Ice Sheet (GrIS) from a variety of different sensors including spaceborne and airborne laser altimetry, such as NASA’s Ice Cloud and land Elevation Satellite (ICESat), Airborne Topographic Mapper (ATM) and Laser Vegetation Imaging Sensor (LVIS), as well as from stereo satellite imaging systems, most notably from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Worldview. The spatio-temporal resolution, the accuracy, and the spatial coverage of all these data differ widely. For example, laser altimetry systems are much more accurate than DEMs derived by correlation from imaging systems. On the other hand, DEMs usually have a superior spatial resolution and extended spatial coverage. We present in this paper an overview of the SERAC (Surface Elevation Reconstruction And Change detection) system, designed to cope with the data complexity and the computation of elevation change histories. SERAC simultaneously determines the ice sheet surface shape and the time-series of elevation changes for surface patches whose size depends on the ruggedness of the surface and the point distribution of the sensors involved. By incorporating different sensors, SERAC is a true fusion system that generates the best plausible result (time series of elevation changes) a result that is better than the sum of its individual parts. We follow this up with an example of the Helmheim gacier, involving ICESat, ATM and LVIS laser altimetry data, together with ASTER DEMs. Text Airborne Topographic Mapper Greenland Ice Sheet Copernicus Publications: E-Journals Greenland The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 531 536
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description During the last two decades surface elevation data have been gathered over the Greenland Ice Sheet (GrIS) from a variety of different sensors including spaceborne and airborne laser altimetry, such as NASA’s Ice Cloud and land Elevation Satellite (ICESat), Airborne Topographic Mapper (ATM) and Laser Vegetation Imaging Sensor (LVIS), as well as from stereo satellite imaging systems, most notably from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Worldview. The spatio-temporal resolution, the accuracy, and the spatial coverage of all these data differ widely. For example, laser altimetry systems are much more accurate than DEMs derived by correlation from imaging systems. On the other hand, DEMs usually have a superior spatial resolution and extended spatial coverage. We present in this paper an overview of the SERAC (Surface Elevation Reconstruction And Change detection) system, designed to cope with the data complexity and the computation of elevation change histories. SERAC simultaneously determines the ice sheet surface shape and the time-series of elevation changes for surface patches whose size depends on the ruggedness of the surface and the point distribution of the sensors involved. By incorporating different sensors, SERAC is a true fusion system that generates the best plausible result (time series of elevation changes) a result that is better than the sum of its individual parts. We follow this up with an example of the Helmheim gacier, involving ICESat, ATM and LVIS laser altimetry data, together with ASTER DEMs.
format Text
author Schenk, T.
Csatho, B. M.
Duncan, K.
spellingShingle Schenk, T.
Csatho, B. M.
Duncan, K.
FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
author_facet Schenk, T.
Csatho, B. M.
Duncan, K.
author_sort Schenk, T.
title FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
title_short FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
title_full FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
title_fullStr FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
title_full_unstemmed FUSION OF LASER ALTIMETRY DATA WITH DEMS DERIVED FROM STEREO IMAGING SYSTEMS
title_sort fusion of laser altimetry data with dems derived from stereo imaging systems
publishDate 2018
url https://doi.org/10.5194/isprs-archives-XLI-B8-531-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/
geographic Greenland
geographic_facet Greenland
genre Airborne Topographic Mapper
Greenland
Ice Sheet
genre_facet Airborne Topographic Mapper
Greenland
Ice Sheet
op_source eISSN: 2194-9034
op_relation doi:10.5194/isprs-archives-XLI-B8-531-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/531/2016/
op_doi https://doi.org/10.5194/isprs-archives-XLI-B8-531-2016
container_title The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
container_volume XLI-B8
container_start_page 531
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